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3d printed Ultra-High Performance concrete: Preparation, Application, and Challenges 1

Nanotechnology in construction, including deep advances in cement chemistry, nanotechnology, artificial intelligence, robotics, concrete technology, and extreme engineering (blast, impact and fire)

作者： Bai, G. Chen, G. Li, r. Wang, L. Ma, G. School of Civil and Transportation Engineering Hebei University of Technology Tianjin China Zhong Dian Jian Ji Jiao Expressway Investment Development Co. Ltd. Shijiazhuang China Yaobai Special Cement Technology R&D Co. Ltd. Xian China

ISBN: (数字)9789819933303

ISBN: (纸本)9789819933297

3d printed ultra-high performance concrete (3dP-UHPC) plays an important role in the realization of ultra-high compressive and tensile strengths. considering the particular characteristics of UHPC, the conversion of UHPC to 3dP-UHPC is a complex phenomenon and has been the subject of numerous studies. It is very important to be able to design a thixotropic structure in the early hydration stage for bridging the gap between the slow setting of UHPC and the rapid setting of the 3d printing procedure. In the design and application of 3dP-UHPC, requirements such as the ratio of coagulant and flocculant, fiber alignment, reinforced 3d printed no-rebar reinforced concrete, safety, cost etc. need to be taken into account. We present a comprehensive review of 3dP-UHPC in concrete construction from preparation to application, including design method, raw materials, mechanical, reinforced methods, and applications. Finally, recommendations are provided to promote the application of 3dP-UHPC in engineering practice. © 2023, The Author(s).

关键词： 3d printing

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Selenium-enriched Cardamine violifolia protects against sepsis-induced intestinal injury by regulating mitochondrial fusion in weaned pigs

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Science China(Life Sciences) 2023年第9期66卷 2099-2111页

作者： dan Wang Yanling Kuang Qingqing Lv Wenshuai Xie Xiao Xu Huiling Zhu Yue Zhang Xin cong Shuiyuan Cheng Yulan Liu Hubei Key Laboratory of Animal Nutrition and Feed Science Wuhan Polytechnic UniversityWuhan 430023China Enshi Se-Run Material Engineering Technology Co. Ltd.Enshi 445000China National R&D Center for Se-rich Agricultural Products Processing School of Modern Industry for Selenium Science and EngineeringWuhan Polytechnic UniversityWuhan 430023China

Sepsis is a life-threatening organ dysfunction caused by the dysregulated response of the host to an infection, and treatments are limited. recently, a novel selenium source, selenium-enriched Cardamine violifolia(SEC) has attracted much attention due to its anti-inflammatory and antioxidant properties, but little is known about its role in the treatment of sepsis. Here, we found that SEC alleviated LPS-induced intestinal damage, as indicated by improved intestinal morphology, and increased disaccharidase activity and tight junction protein expression. Moreover, SEC ameliorated the LPS-induced release of pro-inflammatory cytokines, as indicated by decreased IL-6 level in the plasma and jejunum. Moreover, SEC improved intestinal antioxidant functions by regulating oxidative stress indicators and selenoproteins. In vitro, TNF-α-challenged IPEC-1 cells were examined and showed that selenium-enriched peptides, which are the main functional components extracted from Cardamine violifolia(CSP), increased cell viability, decreased lactate dehydrogenase activity and improved cell barrier function. Mechanistically, SEC ameliorated LPS/TNF-α-induced perturbations in mitochondrial dynamics in the jejunum and IPEC-1 cells. Moreover, CSPmediated cell barrier function is primarily dependent on the mitochondrial fusion protein MFN2 but not MFN1. Taken together,these results indicate that SEC mitigates sepsis-induced intestinal injury, which is associated with modulating mitochondrial fusion.

关键词： intestine MFN2 mitochondrial fusion piglets selenium sepsis

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Effect of Magnesium Methacrylate on Properties of Hydrogenated Nitrile rubber at High Temperature

SSRN

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SSrN 2022年

作者： Sun, Xiaoliang Zhao, Yujun Luo, Xichao Song, Jian Guo, Tianming Liu, Xinxin CNPC Engineering Technology R&D Beijing Petroleum Machinery Co. Ltd. Beijing China

Hydrogenated nitrile butadiene rubber (HNBr) is widely used in the field of oil drilling due to its high temperature and oil resistance, but its resistance to thermal oxygen aging and drilling fluid resistance at high temperature needs to be improved. Five kinds of rubber formulations were prepared by adding different amounts of magnesium methacrylate(MgMA) into the hydrogenated nitrile rubber. According to the analysis of mechanical properties, the formula with 8 portions of MgMA has excellent comprehensive properties and the best comprehensive anti-aging properties after thermal oxygen aging and drilling fluid immersion. This work provides data support and theoretical guidance for the optimization of hydrogenated NBr. © 2022, The Authors. All rights reserved.

关键词： drilling fluids

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Calculation of Inductance Parameters of Variable reluctance resolver Based on Modified Winding Function Method

Calculation of Inductance Parameters of Variable Reluctance ...

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2022 IEEE Transportation Electrification conference and Expo, Asia-Pacific, ITEC Asia-Pacific 2022

作者： Cai, Yaqian Liu, Yichen Zhu, Wenyin Ni, ronggang Qingdao University College of Electrical Engineering Qingdao China Qingdao Haier Smart Technology R&D Co. Ltd Qingdao China

ISBN: (数字)9781665492065

ISBN: (纸本)9781665492065

China's high-market manufacturing industry has developed rapidly in recent years, industrial robots and other servo products have been widely used, and the position detection required by servo motor system has also developed rapidly. Among the common sensors, variable reluctance resolver stands out with its many advantages and is applied in many fields. The main analysis model in this paper is the internal motor of hybrid double stator motor. On the basis of modifying the air gap function and the coil turn distribution function, the Modified Winding Function Approach (MWFA) is used to analyze the model. Then another method, Finite Element Analysis (FEA), is also used to analyze the model. comparing the results of the two methods, it can be seen that the results of MWFA also fluctuate in the results of FEA, and the phase is the same. © 2022 IEEE.

关键词： Inductance

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A Load Balancing Method of New Energy Specialized Chip Based on Segments division Adjustment 7

A Load Balancing Method of New Energy Specialized Chip Based...

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7th IEEE conference on Energy Internet and Energy System Integration, EI2 2023

作者： Liu, dehong Xi, Wei Hu, Ming Li, Xiaohua Cai, Zexiang Liang, Xuran China Southern Power Grid Digital Power Grid Research Institute Co. Ltd. Technology R&d Center Guangzhou China School of Electric Power Engineering South China University of Technology Guangzhou China

ISBN: (纸本)9798350345094

Currently, there is a growing proportion of distributed new energy in the distribution network. Unlike in the past, the widespread integration of new energy sources brings forth a multi-timescale phenomenon in the electric tasks now. When the new energy specialized chip receives the tasks, the imbalance of load will be strengthened. consequently, an approach for balancing load is proposed in the context of new energy, which is based on segments division adjustment. The first step involves establishing a resource demand matrix based on the classification and modeling of electric tasks characteristics. Subsequently, the duty cycle adjustment scheme and flattened adjustment scheme are proposed for different segments under the regular scenes. Ultimately, the characteristics of the electric tasks serve as the foundation for the development of a backward flattening processing model in the sudden scenes. The effectiveness of the proposed optimization strategy is demonstrated by the simulation result that it will reduce the imbalance of the resource demand curve in both regular and sudden scenes. © 2023 IEEE.

关键词： Curve fitting

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Moisture Absorption Analysis in Silicone Gel for Power Modules: Experiments and Modeling 10

Moisture Absorption Analysis in Silicone Gel for Power Modul...

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10th International conference on condition Monitoring and diagnosis, CMd 2024

作者： Umemoto, Takahiro Sato, Masahiro Nawata, Tatsuki Hidaka, Kunihiko Takano, Sho Hayase, Yuji Yamashiro, Keisuke Kumada, Akiko The University of Tokyo Dept. of Electrical Engineering and Information Systems Tokyo Japan Tokyo Denki University Dept. of Electrical and Electronic Engineering Tokyo Japan Advanced Technology Laboratory Corporate R&d Headquarters Fuji Electric Co. Ltd. Tokyo Japan

ISBN: (纸本)9788986510225

Silicone gel is widely used as encapsulation material in power modules due to its unique properties, such as elasticity, adhesion, self-healing, and superior dielectric strength. However, it is generally known to be highly hygroscopic due to its microscopic porous structure. rapid temperature changes in a high-humidity environment beyond the expected operating conditions of power modules may cause condensation within the gel, resulting in degradation of electrical insulation performance and dielectric failure. Hence, it is crucial to conduct a quantitative analysis of the moisture absorption and desorption behaviors in the gel. In this study, a measurement system was constructed using commercially available humidity sensors to obtain the temporal and spatial distribution of moisture within the gel under high-temperature and high-humidity conditions. In addition, a numerical simulation of moisture absorption and desorption was developed based on the moisture diffusion equation, successfully replicating the experimental results. © 2024 The Korean Institute of Electrical Engineers (KIEE).

关键词： Encapsulation

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Case study: In-situ stress characteristics and fracture zone activation analysis of Changning shale gas in Sichuan Basin 55

Case study: In-situ stress characteristics and fracture zone...

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55th U.S. rock Mechanics / Geomechanics Symposium 2021

作者： Zhaowei, Chen Hu, Cao Yuanhui, Shi Jianhui, dong CNPC Engineering Technology R&D Company Limited Beijing China Beijing China Sinopec Jianghan Petroleum Engineering Co. Ltd Hubei Qianjiang China CNPC Emergency coordination office Beijing China

ISBN: (纸本)9781713839125

In the Changning Shale Gas development blocks in Sichuan Basin, casing deformation seriously restricted the efficient development of shale gas. Based on stress quadrilateral principle, the in-situ stress model of Changning area is established. The seismic and microseismic data were used to analyze the characteristics of fracture zone. Based on the principle of critical stress fault, the mechanical activity of fracture zone was analyzed. Finally, the in-situ stress characteristics, fracture zone development and fracture zone activity of Fuling block and Barnett block were discussed. The results showed that Changing area is in the reverse strike slip stress mode, and the difference between the shear stress and the sliding resistance on the fracture zone with high dip angle is the minimum, which is the internal reason why the fracture zone is easy to be activated. The sliding resistance on the fracture zone is greatly reduced by fracturing operation, which is the external reason for the fracture zone sliding induced by fracturing. This result states the geomechanical reasons of casing deformation in Changning area, which provides theoretical significance to solve the problem of casing deformation in Changning area. copyright © 2021 ArMA, American rock Mechanics Association.

关键词： deformation

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UA-HGAT: Uncertainty-aware Heterogeneous Graph Attention Network for Short Text Classification 15

UA-HGAT: Uncertainty-aware Heterogeneous Graph Attention Net...

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2022 IEEE congress on Cybermatics: 15th IEEE International conferences on Internet of Things, iThings 2022, 18th IEEE International conferences on Green computing and communications, Greencom 2022, 2022 IEEE International conference on Cyber, Physical and Social computing, CPScom 2022 and 8th IEEE International conference on Smart data, Smartdata 2022

作者： Kong, deYan Ji, ZhenYan Sang, Yanjuan dong, Wei Yang, Yanyan Beijing Jiaotong University School of Software Engineering Beijing China Blueintelligence Technology Co.Ltd. R&d Department Wuhan China Institute of Software Chinese Academy of Sciences State Key Laboratory of Computer Science Beijing100190 China

ISBN: (数字)9781665454179

ISBN: (纸本)9781665454179

during the last decade, deep learning has played a significant role in improving text classification which is widely applied in question answering systems, comment extraction, sentiment analysis, etc. considering that few labeled training data are available, semi-supervised short text classification needs to be studied urgently. Existing works focus on long texts and cannot achieve satisfactory performance on short texts due to the sparsity, non-standardization, and insufficient labeled data. In this paper, we propose a novel uncertainty-aware heterogeneous graph attention network for semi-supervised short text classification (UA-HGAT), which makes full use of limited labeled data and large amounts of unlabeled data via exploiting an uncertainty-aware mechanism. In the model, entity description from Wikipedia is introduced to empower short texts, and word-level information is acquired by Word2Vec. The entity description and word-level information are combined with topic information to address the issue of short text sparseness. In particular, we introduce uncertainty-aware mechanism and negative sample learning to relieve the erroneous high confidence predictions from poorly calibrated models, so that it can offer enough pseudo-label samples for the model training. Extensive experiments show that our model significantly outperforms the SOTA methods on AGNews and Snippets datasets. © 2022 IEEE.

关键词： Sentiment analysis

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A Novel Method to determine the drilling Fluid density for Gypsum-Salt Layer

A Novel Method to Determine the Drilling Fluid Density for G...

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2021 Abu dhabi International Petroleum Exhibition and conference, AdIP 2021

作者： Liu, Jitong Li, Wanjun Zhou, Haiqiu Gu, Yixin Jiang, Fuhua Zhang, Guobin Zhou, Shiying Liu, Haixiao Liao, Chao Wang, Shengqiang Zhou, Zhifeng CNPC Engineering Technology R&D Company Limited China National Offshore Oil Corporation China Xibu Drilling Directional Well Co. Ltd

ISBN: (纸本)9781613998342

The reservoir underneath the salt bed usually has high formation pressure and large production rate. However, downhole complexities such as wellbore shrinkage, stuck pipe, casing deformation and brine crystallization prone to occur in the drilling and completion of the salt bed. The drilling safety is affected and may lead to the failure of drilling to the target reservoir. The drilling fluid density is the key factor to maintain the salt bed's wellbore stability. The in-situ stress of the composite salt bed (gypsum-salt -gypsum-salt-gypsum) is usually uneven distributed. Creep deformation and wellbore shrinkage affect each other within layers. The wellbore stability is difficult to maintain. Limited theorical reference existed for drilling fluid density selection to mitigate the borehole shrinkage in the composite gypsum-salt layers. This paper established a composite gypsum-salt model based on the rock mechanism and experiments, and a safe-drilling density selection layout is formed to solve the borehole shrinkage problem. This study provides fundamental basis for drilling fluid density selection for gypsum-salt layers. The experiment results show that, with the same drilling fluid density, the borehole shrinkage rate of the minimum horizontal in-situ stress azimuth is higher than that of the maximum horizontal in-situ stress azimuth. However, the borehole shrinkage rate of the gypsum layer is higher than salt layer. The hydration expansion of the gypsum is the dominant reason for the shrinkage of the composite salt-gypsum layer. In order to mitigate the borehole diameter reduction, the drilling fluid density is determined that can lower the creep rate less than 0.001, as a result, the borehole shrinkage of salt-gypsum layer is slowed. At the same time, it is necessary to improve the salinity, filter loss and plugging ability of the drilling fluid to inhibit the creep of the soft shale formation. The research results provide technical support for the safe drilling

关键词： Boreholes

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Improving robustness of GNN-based Anomaly detection by Graph Adversarial Training 30

Improving Robustness of GNN-based Anomaly Detection by Graph...

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Joint 30th International conference on computational Linguistics and 14th International conference on Language resources and Evaluation, LrEC-coLING 2024

作者： Zheng, Xiangping Wu, Bo Zhang, Alex X. Li, Wei College of Computer Science and Technology Harbin Engineering University China R&D and External Relations Department Xiangjiang Laboratory China Modeling and Emulation in E-Government National Engineering Laboratory China Harvest Fund Management Co. Ltd. China Qingdao Innovation and Development Base of Harbin Engineering University China

ISBN: (纸本)9782493814104

Graph neural networks (GNNs) play a fundamental role in anomaly detection, excelling at the identification of node anomalies by aggregating information from neighboring nodes. Nonetheless, they exhibit vulnerability to attacks, with even minor alterations in the graph structure or node attributes resulting in substantial performance degradation. To address this critical challenge, we introduce an innovative mechanism for graph adversarial training, meticulously designed to bolster GNN-based anomaly detection systems against potential poisoning attacks. This novel approach follows a two-step framework. (1) In the initial phase, we employ a Multiple-Objective Generative Adversarial Attack (MO-GAA), which focuses on generating feature modifications and inducing structural disruptions within the graph. Its primary objective is to mimic the adversarial behavior of potential attackers on the anomaly detection graph, with the explicit intention of confounding the anomaly detector. (2) In the subsequent stage, we introduce Purification-Based Adversarial Attack defense (PB-AAd), a method specifically designed to rectify any contamination and restore the integrity of the graph. The central aim of PB-AAd is to counteract the destructive actions carried out by potential attackers. Our empirical findings, derived from extensive experiments conducted on four real-world anomaly detection datasets, serve to demonstrate how MO-GAA systematically disrupts the graph, compromising the effectiveness of GNN-based detectors, while PB-AAd effectively mitigates these adversarial actions, thereby enhancing the overall robustness of GNN-based anomaly detectors. © 2024 ELrA Language resource Association: CC BY-NC 4.0.

关键词： Anomaly detection

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